Optical processing for the detection of faults in interferometric patterns

Kallmeyer, Frank; Krueger, Sven; Wernicke, Guenther K.G.; Gruber, Hartmut; Demoli, Nazif; Kayser, Daniel

doi:10.1117/12.472237

“…Wavelet filters are very powerful in the extraction of spatial frequencies and in edge detection [9]. Applying the wavelet transformation with an optical correlator, the output image shows the spatial distribution of a spatial frequency given by the applied wavelet filter.…”

Section: Discussionmentioning

confidence: 99%

“…From a multitude of different wavelet filter, filters could be found which are able to extract the characteristic feature of a fault class, enabling a classification of fringe patterns [5][6][7][8][9]. A classification algorithm was presented in [9]. This paper is primarily concerned with the dynamical realization of the classification algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore it is possible to extract a characteristic frequency without the loss of spatial information [3,4]. From a multitude of different wavelet filter, filters could be found which are able to extract the characteristic feature of a fault class, enabling a classification of fringe patterns [5][6][7][8][9]. A classification algorithm was presented in [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic classification of fringe patterns in holographic interferometry by optical wavelet filtering

Kallmeyer

¹

,

Krueger

²

,

Wernicke

³

et al. 2003

Machine Vision Applications in Industrial Inspection XI

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0

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In this paper the dynamic processing of interferometric fringe patterns obtained by real-time optical measurement methods like holographic interferometry is shown. A hologram of the tested component is superimposed with the hologram of the stressed component. The achieved fringe patterns vary according to the degree of stress applied. To evaluate these varying fringe patterns in real time, dynamic filtering is required. A hybrid opto-electronic system with a digital image processing and optical correlation module based on liquidcrystal spatial light modulators gives us the possibility to use dynamic filters and input images. In order to process interferometric fringes the adaptive wavelet transformation is applied.We will show two methods of dynamic filtering. Firstly a static filter is used to process varying fringe patterns. With this method changes of features in the fringe patterns can be observed correlating to changes of stress applied on the tested component. Another application of dynamic filtering uses a static input image and dynamic filters. This method is used for the classification of interferometric fringe patterns. A set of different wavelet filters is applied to the input image using the ability of the spatial light modulator to display images in video frame rates. Comparing the wavelet filters and the output images it is possible to assign the fringe patterns to a fault class.

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“…From a multitude of different wavelet filter, filters could be found which are able to extract the characteristic feature of a fault class, enabling a classification of fringe patterns [5][6][7][8][9]. A classification algorithm was presented in [9]. This paper is primarily concerned with the dynamical realization of the classification algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore it is possible to extract a characteristic frequency without the loss of spatial information [3,4]. From a multitude of different wavelet filter, filters could be found which are able to extract the characteristic feature of a fault class, enabling a classification of fringe patterns [5][6][7][8][9]. A classification algorithm was presented in [9].…”

Section: Introductionmentioning

confidence: 99%

Detection of faults in interferometric fringe patterns by optical wavelet filtering

Wernicke

¹

,

Kallmeyer

²

,

Krueger

³

et al. 2003

SPIE Proceedings

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0

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In this paper the dynamic processing of interferometric fringe patterns obtained by real-time optical measurement methods like holographic interferometry is shown. A hologram of the tested component is superimposed with the hologram of the stressed component. The achieved fringe patterns vary according to the degree of stress applied. To evaluate these varying fringe patterns in real time, dynamic filtering is required. A hybrid opto-electronic system with a digital image processing and optical correlation module based on liquidcrystal spatial light modulators gives us the possibility to use dynamic filters and input images. In order to process interferometric fringes the adaptive wavelet transformation is applied.

show abstract

Detection of defects from fringe patterns using a pseudo-Wigner–Ville distribution based method

Gannavarpu¹,

Gorthi²,

Rastogi³

2012

Optics and Lasers in Engineering

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Optical processing for the detection of faults in interferometric patterns

Cited by 5 publications

References 0 publications

Dynamic classification of fringe patterns in holographic interferometry by optical wavelet filtering

Dynamic classification of fringe patterns in holographic interferometry by optical wavelet filtering

Detection of faults in interferometric fringe patterns by optical wavelet filtering

Detection of defects from fringe patterns using a pseudo-Wigner–Ville distribution based method

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